import twitter_login
import twitter
import sys
q = 'basketball' # Comma-separated list of terms
print >> sys.stderr, 'Filtering the public timeline for track="%s"' % (q,)
twitter_api = twitter_login.get_api()
twitter_stream = twitter.TwitterStream(auth=twitter_api.auth)
stream = twitter_stream.statuses.filter(track=q)
for tweet in stream:
print tweet['text'].encode('utf8')
# top_n_scored = sorted(top_n_scored, key=lambda s: s[0])
#
# # Decorate the post object with summaries
# return dict(top_n_summary=[sentences[idx] for (idx, score) in top_n_scored],
# mean_scored_summary=[sentences[idx] for (idx, score) in mean_scored])
def analyze_favorites(twitter_api, screen_name, entity_threshold=2):
favs = twitter_api.favorites.list(screen_name=screen_name, count=200)
print "Number of favorites:", len(favs)
# Figure out what some of the common entities are, if any, in the content
common_entities = get_common_tweet_entities(favs, entity_threshold=entity_threshold)
pt = PrettyTable(field_names=['Entity', 'Count'])
[ pt.add_row(kv) for kv in common_entities ]
pt.align['Entity'], pt.align['Count'] = 'l', 'r' # Set column alignment
print
print "Common entities in favorites..."
print pt
print
print "Some statistics about the content of the favorities..."
print
analyze_tweet_content(favs)
# Sample usage
twitter_api = get_api()
print "OK"
analyze_favorites(twitter_api, "ptwobrussell")
